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Adeyeye, K and Emmitt, S (2017) Multi-scale, integrated strategies for urban flood resilience. International Journal of Disaster Resilience in the Built Environment, 8(05), 494-520.
Ahmed, I (2016) Housing and resilience: case studies from the Cook Islands. International Journal of Disaster Resilience in the Built Environment, 7(05), 489-500.
Ali, R A, Mannakkara, S and Wilkinson, S (2020) Factors affecting successful transition between post-disaster recovery phases: a case study of 2010 floods in Sindh, Pakistan. International Journal of Disaster Resilience in the Built Environment, 11(05), 597–614.
Baroudi, B and Rapp, R (2016) Disaster restoration project management: leadership education and methods. International Journal of Disaster Resilience in the Built Environment, 7(05), 434-43.
Choi, C Y and Honda, R (2019) Motive and conflict in the disaster recovery process. International Journal of Disaster Resilience in the Built Environment, 10(05), 408–19.
Durage, S W, Wirasinghe, S C and Ruwanpura, J Y (2017) Tornado mitigation network analysis and simulation. International Journal of Disaster Resilience in the Built Environment, 8(05), 478-93.
Feofilovs, M, Romagnoli, F, Gotangco, C K, Josol, J C, Jardeleza, J M P, Litam, J E, Campos, J I and Abenojar, K (2020) Assessing resilience against floods with a system dynamics approach: a comparative study of two models. International Journal of Disaster Resilience in the Built Environment, 11(05), 615–29.
Firouzi Jahantigh, F and Jannat, F (2019) Analyzing the sequence and interrelations of Natech disasters in Urban areas using interpretive structural modelling (ISM). International Journal of Disaster Resilience in the Built Environment, 10(05), 392–407.
Ganguly, K K, Padhy, R K and Rai, S S (2017) Managing the humanitarian supply chain: a fuzzy logic approach. International Journal of Disaster Resilience in the Built Environment, 8(05), 521-36.
Harisuthan, S, Hasalanka, H, Kularatne, D and Siriwardana, C (2020) Applicability of the PTVA-4 model to evaluate the structural vulnerability of hospitals in Sri Lanka against tsunami. International Journal of Disaster Resilience in the Built Environment, 11(05), 581–96.
Huong, H T L and Dzung, L H (2020) Criteria for flood warning levels in Vietnam. International Journal of Disaster Resilience in the Built Environment, 11(05), 645–58.
Ismail, F Z, Halog, A and Smith, C (2017) How sustainable is disaster resilience? An overview of sustainable construction approach in post-disaster housing reconstruction. International Journal of Disaster Resilience in the Built Environment, 8(05), 555-72.
Kashem, S B (2019) Housing practices and livelihood challenges in the hazard-prone contested spaces of rural Bangladesh. International Journal of Disaster Resilience in the Built Environment, 10(05), 420–34.
Kimura, N, Tai, A and Hashimoto, A (2017) Flood caused by driftwood accumulation at a bridge. International Journal of Disaster Resilience in the Built Environment, 8(05), 466-77.
- Type: Journal Article
- Keywords: flooding; accumulation; smoothed particle hydrodynamics; bridge; driftwood; high flow
- ISBN/ISSN:
- URL: https://doi.org/10.1108/IJDRBE-12-2015-0062
- Abstract:
Purpose Extreme weather events introduced by climate change have been frequent across the world for the past decade. For example, Takeda City, a mountainous area in the south-western Japan, experienced a severe river flood event caused by the factors of high flow, presence of bridges and driftwood accumulation in July 2012. This study aims to focus on this event (hereafter, Takeda flood) because the unique factors of driftwood and bridges were involved. In the Takeda flood, high flow, driftwood and bridge were the potential key factors that caused the flood. The authors studied to reveal the physical processes of the Takeda flood. Design/methodology/approach The authors conducted a fundamental laboratory experiment with a miniature bridge, open channel flow and idealized driftwood accumulation. They also performed a numerical simulation by using a smoothed particle hydrodynamics (SPH) method, which can treat fluid as particle elements. This model was chosen because the SPH method is capable of treating a complex flow such as a spray of water around a bridge. Findings The numerical simulation successfully reproduced the bridge- and driftwood-induced floods of the laboratory experiment. Then, the contribution of the studied key factors to the flood mechanism based on the fluid forces generated by high flow, bridge and driftwood (i.e. pressure distributions) was quantitatively assessed. The results showed that the driftwood accumulation and high flow conditions are potentially important factors that can cause a severe flood like the Takeda flood. Originality/value Simulated results with high flow conditions may be helpful to consider the countermeasure for future floods under climate change even though the test was simple and fundamental.
Kuittinen, M (2016) Does the use of recycled concrete lower the carbon footprint in humanitarian construction?. International Journal of Disaster Resilience in the Built Environment, 7(05), 472-88.
Low, S P, Gao, S and Wong, G Q E (2017) Resilience of hospital facilities in Singapore’s healthcare industry: a pilot study. International Journal of Disaster Resilience in the Built Environment, 8(05), 537-54.
Maal, M and Wilson-North, M (2019) Social media in crisis communication – the “do’s” and “don’ts”. International Journal of Disaster Resilience in the Built Environment, 10(05), 379–91.
Mandal, S, Sarathy, R, Korasiga, V R, Bhattacharya, S and Dastidar, S G (2016) Achieving supply chain resilience: The contribution of logistics and supply chain capabilities. International Journal of Disaster Resilience in the Built Environment, 7(05), 544-62.
Mukhopadhyay, S, Halligan, J and Hastak, M (2016) Assessment of major causes: nuclear power plant disasters since 1950. International Journal of Disaster Resilience in the Built Environment, 7(05), 521-43.
Naja, M K and Baytiyeh, H (2016) Risk assessment of high schools in Lebanon for potential terrorist threat. International Journal of Disaster Resilience in the Built Environment, 7(05), 460-71.
Oloo, J O and Omondi, P (2017) Strengthening local institutions as avenues for climate change resilience. International Journal of Disaster Resilience in the Built Environment, 8(05), 573-88.
Ongkowijoyo, C S, Doloi, H and Mills, A (2019) Participatory-based risk impact propagation and interaction pattern analysis using social network analysis. International Journal of Disaster Resilience in the Built Environment, 10(05), 363–78.
Pamungkas, A and Purwitaningsih, S (2019) Green and grey infrastructures approaches in flood reduction. International Journal of Disaster Resilience in the Built Environment, 10(05), 343–62.
Rafi, M M, Lodi, S H, Ahmed, M, Kumar, A and Verjee, F (2016) Development of building inventory for northern Pakistan for seismic risk reduction. International Journal of Disaster Resilience in the Built Environment, 7(05), 501-20.
Rautela, P, Joshi, G C and Ghildiyal, S (2019) Economics of seismic safety for earthquake-prone Himalayan province of Uttarakhand in India. International Journal of Disaster Resilience in the Built Environment, 10(05), 317–42.
Shahin, M, Billah, M, Islam, M M, Parvez, A and Zaman, A M (2020) Cyclone shelters need sustainable development. International Journal of Disaster Resilience in the Built Environment, 11(05), 659–78.
Subedi, J, Ghimire, R M, Neupane, R P and Amatya, S (2016) Cost difference of buildings in Kathmandu constructed with and without earthquake safer features. International Journal of Disaster Resilience in the Built Environment, 7(05), 444-59.
Tasantab, J C, Gajendran, T, von Meding, J and Maund, K (2020) Perceptions and deeply held beliefs about responsibility for flood risk adaptation in Accra Ghana. International Journal of Disaster Resilience in the Built Environment, 11(05), 631–44.